Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "82" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 47 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 45 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459862 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.488802 | 4.149082 | 1.933333 | 15.715852 | 2.799641 | 55.565875 | 0.261872 | 7.278819 | 0.6719 | 0.5857 | 0.4399 | nan | nan |
| 2459861 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459860 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.494099 | 0.783089 | 1.826515 | 0.348784 | 1.976414 | 0.266208 | -0.412493 | -0.940805 | 0.7079 | 0.6719 | 0.4149 | nan | nan |
| 2459859 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 1.372244 | 0.086465 | -1.174039 | 0.811913 | 0.037652 | -0.588075 | -0.204674 | -0.653706 | 0.7101 | 0.6810 | 0.4059 | nan | nan |
| 2459858 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.335467 | 0.279527 | -1.244127 | 0.775532 | 0.441214 | -0.345718 | -0.121224 | -0.646030 | 0.7225 | 0.6857 | 0.4190 | 2.891615 | 2.511030 |
| 2459857 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.753695 | 1.440355 | -2.826588 | -2.195804 | 1.886813 | 0.914576 | -0.424562 | 0.494447 | 0.0270 | 0.0266 | 0.0007 | nan | nan |
| 2459856 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.925242 | 1.108072 | 1.820171 | -0.029979 | 1.472553 | 0.760190 | 0.547440 | -1.064630 | 0.7143 | 0.7024 | 0.4050 | 3.148033 | 2.501539 |
| 2459855 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.292341 | 1.243712 | 1.680495 | -0.156604 | 0.048379 | -0.471971 | -0.465061 | -1.124180 | 0.6970 | 0.7181 | 0.4353 | 2.796815 | 2.312967 |
| 2459854 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.416145 | 1.119429 | 2.367738 | -0.446160 | 0.586423 | -0.664092 | 1.492625 | -0.146962 | 0.7131 | 0.7348 | 0.4414 | 3.224100 | 2.586430 |
| 2459853 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.600576 | 0.961513 | 3.224588 | -0.412969 | 0.007609 | -0.211583 | -0.252220 | -0.924330 | 0.7383 | 0.6938 | 0.4250 | 3.585473 | 2.911092 |
| 2459852 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.270466 | 0.540731 | 3.261269 | -0.238052 | 1.489008 | -0.798905 | 1.954571 | -0.671678 | 0.8211 | 0.8299 | 0.2463 | 3.938487 | 3.942913 |
| 2459847 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.095059 | 0.482255 | 5.393217 | 4.819183 | 2.142693 | 0.879160 | -0.328683 | 1.143639 | 0.7218 | 0.6695 | 0.4310 | 3.639246 | 2.924093 |
| 2459846 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.159681 | 1.185216 | 4.368566 | 4.983391 | 1.408420 | 1.412272 | 0.119836 | 1.126800 | 0.8371 | 0.6751 | 0.4806 | 3.725633 | 3.539333 |
| 2459845 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.690694 | 1.454357 | 7.875264 | 5.696692 | 2.083352 | 0.692794 | 0.748907 | -0.462204 | 0.7233 | 0.7242 | 0.3845 | 8.733431 | 12.889860 |
| 2459844 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 0.039065 | 4.588427 | 17.730284 | 12.316321 | 3.255252 | 0.019616 | 0.463619 | 1.491986 | 0.0267 | 0.0265 | 0.0009 | nan | nan |
| 2459843 | RF_maintenance | 100.00% | 0.66% | 0.66% | 0.00% | 100.00% | 0.00% | 5.349921 | 0.583769 | 0.918936 | 0.127652 | 6.868680 | 4.047646 | 4.176175 | -0.384613 | 0.7152 | 0.7401 | 0.3892 | 4.225535 | 3.739949 |
| 2459840 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.505394 | 0.581834 | 2.190293 | 1.475255 | -0.283766 | -0.170012 | -0.588026 | 1.485713 | 0.0255 | 0.0254 | 0.0012 | nan | nan |
| 2459839 | RF_maintenance | 100.00% | - | - | - | - | - | 0.039808 | -0.146307 | 16.863774 | 14.659315 | 3.517323 | 2.254141 | 8.003366 | 26.419884 | nan | nan | nan | nan | nan |
| 2459838 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.628447 | -0.328088 | 0.854362 | -0.616102 | 0.793602 | -1.554850 | -0.934642 | -0.987608 | 0.7411 | 0.7173 | 0.4019 | 4.084318 | 4.724601 |
| 2459835 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.576189 | 0.010174 | -0.606531 | -0.444311 | -0.785669 | -1.276246 | 1.179609 | 3.150143 | 0.0618 | 0.0354 | 0.0019 | nan | nan |
| 2459833 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.827617 | 2.109134 | 2.276604 | 0.781503 | -0.882129 | -1.087321 | 0.683629 | 2.788298 | 0.0666 | 0.0468 | 0.0029 | nan | nan |
| 2459832 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.864158 | 0.167563 | 0.840519 | 0.162011 | 1.371869 | -0.939349 | -0.199279 | -1.014853 | 0.8115 | 0.5492 | 0.5663 | 2.992907 | 3.054841 |
| 2459831 | RF_maintenance | 100.00% | 0.00% | 55.11% | 0.00% | - | - | 2.954554 | 0.403556 | 20.390631 | 17.728664 | 5.455424 | 3.768459 | -0.168096 | 1.949944 | 0.5195 | 0.4030 | 0.0495 | nan | nan |
| 2459830 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 7.238427 | 1.015880 | 1.556791 | 0.238860 | -0.857066 | -1.381797 | -0.419362 | -0.902231 | 0.8144 | 0.5731 | 0.5409 | 5.201088 | 5.448701 |
| 2459829 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.415672 | 0.694852 | 1.763229 | 0.272775 | 0.583046 | -0.027267 | -1.008693 | -1.256019 | 0.7566 | 0.6814 | 0.3957 | 12.992428 | 8.446682 |
| 2459828 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.004692 | 0.933351 | 1.440371 | 0.469326 | -0.046502 | -1.160611 | -0.074405 | -0.130404 | 0.8158 | 0.5754 | 0.5338 | 4.998168 | 5.077549 |
| 2459827 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.680130 | 0.822632 | 2.830661 | -0.289711 | -0.398164 | 0.394527 | 4.085214 | 9.260892 | 0.7557 | 0.6849 | 0.4017 | 10.225162 | 7.907942 |
| 2459826 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.490508 | 0.989447 | 1.896089 | 0.256720 | 0.704349 | -0.873610 | -0.234942 | -0.598354 | 0.8061 | 0.5734 | 0.5230 | 10.732130 | 8.728361 |
| 2459825 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.691188 | 0.340779 | 0.705323 | 0.930712 | -0.919066 | -0.191208 | 0.552881 | 0.625717 | 0.8123 | 0.5994 | 0.5113 | 7.715748 | 8.724469 |
| 2459824 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.460545 | -0.195360 | 0.988073 | -0.121399 | -0.597979 | -1.052103 | -0.411956 | -0.700752 | 0.7179 | 0.7460 | 0.3596 | 8.554843 | 6.476259 |
| 2459823 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.524845 | 0.001722 | 1.844314 | 2.480797 | -0.076600 | 0.519363 | 1.531980 | 0.746816 | 0.7553 | 0.6590 | 0.4468 | 63.227405 | 33.892769 |
| 2459822 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.113422 | 0.081588 | 3.213660 | 2.907046 | 0.393637 | -0.301969 | 17.273789 | 5.298724 | 0.8040 | 0.6108 | 0.5064 | 7.025698 | 5.050796 |
| 2459821 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.493997 | 0.435040 | 0.987092 | 2.187279 | 2.884481 | -0.102583 | 20.197469 | 6.155035 | 0.8047 | 0.6311 | 0.5078 | 5.406956 | 4.026421 |
| 2459820 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.447806 | 0.469654 | 1.739414 | 0.650641 | 4.040130 | -1.613761 | 0.200846 | -0.593936 | 0.7613 | 0.6956 | 0.4168 | 4.747176 | 4.050732 |
| 2459817 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.375736 | -0.553245 | 0.630317 | 0.577636 | -0.043673 | -0.654439 | -0.646183 | -0.754399 | 0.8118 | 0.6659 | 0.4971 | 3.624816 | 3.283452 |
| 2459816 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.235587 | 0.211896 | 1.970368 | 0.030074 | 1.401869 | -0.651377 | -0.888960 | -0.863057 | 0.8451 | 0.6011 | 0.5947 | 3.621809 | 3.177733 |
| 2459815 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.048616 | -0.248756 | 0.512301 | 0.291736 | 2.310887 | -0.601431 | 0.663509 | -0.486092 | 0.8096 | 0.6836 | 0.5019 | 4.101606 | 3.314940 |
| 2459814 | RF_maintenance | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 9.265099 | 1.048033 | -0.525231 | 0.385258 | 1.464740 | 0.304118 | 0.339466 | 0.060574 | 0.7846 | 0.7374 | 0.3851 | 10.729806 | 6.218161 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | nn Temporal Variability | 55.565875 | 0.488802 | 4.149082 | 1.933333 | 15.715852 | 2.799641 | 55.565875 | 0.261872 | 7.278819 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Temporal Variability | 1.976414 | 0.494099 | 0.783089 | 1.826515 | 0.348784 | 1.976414 | 0.266208 | -0.412493 | -0.940805 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Shape | 1.372244 | 1.372244 | 0.086465 | -1.174039 | 0.811913 | 0.037652 | -0.588075 | -0.204674 | -0.653706 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Shape | 1.335467 | 0.279527 | 1.335467 | 0.775532 | -1.244127 | -0.345718 | 0.441214 | -0.646030 | -0.121224 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Temporal Variability | 1.886813 | 1.440355 | -0.753695 | -2.195804 | -2.826588 | 0.914576 | 1.886813 | 0.494447 | -0.424562 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Shape | 1.925242 | 1.925242 | 1.108072 | 1.820171 | -0.029979 | 1.472553 | 0.760190 | 0.547440 | -1.064630 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Shape | 2.292341 | 1.243712 | 2.292341 | -0.156604 | 1.680495 | -0.471971 | 0.048379 | -1.124180 | -0.465061 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Power | 2.367738 | 1.119429 | 1.416145 | -0.446160 | 2.367738 | -0.664092 | 0.586423 | -0.146962 | 1.492625 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Shape | 3.600576 | 0.961513 | 3.600576 | -0.412969 | 3.224588 | -0.211583 | 0.007609 | -0.924330 | -0.252220 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Power | 3.261269 | -0.270466 | 0.540731 | 3.261269 | -0.238052 | 1.489008 | -0.798905 | 1.954571 | -0.671678 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Power | 5.393217 | 0.482255 | 2.095059 | 4.819183 | 5.393217 | 0.879160 | 2.142693 | 1.143639 | -0.328683 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | nn Power | 4.983391 | 2.159681 | 1.185216 | 4.368566 | 4.983391 | 1.408420 | 1.412272 | 0.119836 | 1.126800 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Power | 7.875264 | 1.454357 | 3.690694 | 5.696692 | 7.875264 | 0.692794 | 2.083352 | -0.462204 | 0.748907 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Power | 17.730284 | 0.039065 | 4.588427 | 17.730284 | 12.316321 | 3.255252 | 0.019616 | 0.463619 | 1.491986 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Temporal Variability | 6.868680 | 0.583769 | 5.349921 | 0.127652 | 0.918936 | 4.047646 | 6.868680 | -0.384613 | 4.176175 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Power | 2.190293 | -0.505394 | 0.581834 | 2.190293 | 1.475255 | -0.283766 | -0.170012 | -0.588026 | 1.485713 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | nn Temporal Discontinuties | 26.419884 | -0.146307 | 0.039808 | 14.659315 | 16.863774 | 2.254141 | 3.517323 | 26.419884 | 8.003366 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Power | 0.854362 | -0.328088 | -0.628447 | -0.616102 | 0.854362 | -1.554850 | 0.793602 | -0.987608 | -0.934642 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | nn Temporal Discontinuties | 3.150143 | 0.010174 | -0.576189 | -0.444311 | -0.606531 | -1.276246 | -0.785669 | 3.150143 | 1.179609 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | nn Temporal Discontinuties | 2.788298 | 2.109134 | 0.827617 | 0.781503 | 2.276604 | -1.087321 | -0.882129 | 2.788298 | 0.683629 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Shape | 3.864158 | 3.864158 | 0.167563 | 0.840519 | 0.162011 | 1.371869 | -0.939349 | -0.199279 | -1.014853 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Power | 20.390631 | 2.954554 | 0.403556 | 20.390631 | 17.728664 | 5.455424 | 3.768459 | -0.168096 | 1.949944 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Shape | 7.238427 | 7.238427 | 1.015880 | 1.556791 | 0.238860 | -0.857066 | -1.381797 | -0.419362 | -0.902231 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Power | 1.763229 | 0.694852 | -0.415672 | 0.272775 | 1.763229 | -0.027267 | 0.583046 | -1.256019 | -1.008693 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Shape | 6.004692 | 0.933351 | 6.004692 | 0.469326 | 1.440371 | -1.160611 | -0.046502 | -0.130404 | -0.074405 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | nn Temporal Discontinuties | 9.260892 | 6.680130 | 0.822632 | 2.830661 | -0.289711 | -0.398164 | 0.394527 | 4.085214 | 9.260892 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Shape | 5.490508 | 0.989447 | 5.490508 | 0.256720 | 1.896089 | -0.873610 | 0.704349 | -0.598354 | -0.234942 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Shape | 5.691188 | 0.340779 | 5.691188 | 0.930712 | 0.705323 | -0.191208 | -0.919066 | 0.625717 | 0.552881 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Shape | 4.460545 | 4.460545 | -0.195360 | 0.988073 | -0.121399 | -0.597979 | -1.052103 | -0.411956 | -0.700752 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Shape | 4.524845 | 0.001722 | 4.524845 | 2.480797 | 1.844314 | 0.519363 | -0.076600 | 0.746816 | 1.531980 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Temporal Discontinuties | 17.273789 | 6.113422 | 0.081588 | 3.213660 | 2.907046 | 0.393637 | -0.301969 | 17.273789 | 5.298724 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Temporal Discontinuties | 20.197469 | 0.435040 | 6.493997 | 2.187279 | 0.987092 | -0.102583 | 2.884481 | 6.155035 | 20.197469 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Shape | 6.447806 | 6.447806 | 0.469654 | 1.739414 | 0.650641 | 4.040130 | -1.613761 | 0.200846 | -0.593936 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Shape | 3.375736 | 3.375736 | -0.553245 | 0.630317 | 0.577636 | -0.043673 | -0.654439 | -0.646183 | -0.754399 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Shape | 3.235587 | 0.211896 | 3.235587 | 0.030074 | 1.970368 | -0.651377 | 1.401869 | -0.863057 | -0.888960 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Temporal Variability | 2.310887 | -0.248756 | -0.048616 | 0.291736 | 0.512301 | -0.601431 | 2.310887 | -0.486092 | 0.663509 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | N07 | RF_maintenance | ee Shape | 9.265099 | 1.048033 | 9.265099 | 0.385258 | -0.525231 | 0.304118 | 1.464740 | 0.060574 | 0.339466 |